Row 77300

Row ID: 77300 | Dataset Entry | Axioma AXP Content Repository

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IDK, I ran my own test yesterday and after 3 epochs got 85%+ accuracy on Speaker Identification task with 3.87M Whisper Tiny transformer (depth=4) over part of Voxceleb2 dataset with 1360 speakers.

Your SSAST with depth 12 probably overfitting a lot.

PS. Just looked at your architecture. You don't really need patches with spectrograms. Spectrograms are time series.

FieldValue
text IDK, I ran my own test yesterday and after 3 epochs got 85%+ accuracy on Speaker Identification task with 3.87M Whisper Tiny transformer (depth=4) over part of Voxceleb2 dataset with 1360 speakers. Your SSAST with depth 12 probably overfitting a lot. PS. Just looked at your architecture. You don't really need patches with spectrograms. Spectrograms are time series.
label r/machinelearning
dataType comment
communityName r/MachineLearning
datetime 2024-05-24
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{
  "text": "IDK, I ran my own test yesterday and after 3 epochs got 85%+ accuracy on Speaker Identification task with 3.87M Whisper Tiny transformer (depth=4) over part of Voxceleb2 dataset with 1360 speakers.\n\nYour SSAST with depth 12 probably overfitting a lot. \n\nPS. Just looked at your architecture. You don't really need patches with spectrograms. Spectrograms are time series.",
  "label": "r/machinelearning",
  "dataType": "comment",
  "communityName": "r/MachineLearning",
  "datetime": "2024-05-24",
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}
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